Dataset Information

Connecting race and place: a county-level analysis of White, Black, and Hispanic HIV prevalence, poverty, and level of urbanization.

ABSTRACT: We evaluated the role of poverty in racial/ethnic disparities in HIV prevalence across levels of urbanization.Using national HIV surveillance data from the year 2009, we constructed negative binomial models, stratified by urbanization, with an outcome of race-specific, county-level HIV prevalence rates and covariates of race/ethnicity, poverty, and other publicly available data. We estimated model-based Black-White and Hispanic-White prevalence rate ratios (PRRs) across levels of urbanization and poverty.We observed racial/ethnic disparities for all strata of urbanization across 1111 included counties. Poverty was associated with HIV prevalence only in major metropolitan counties. At the same level of urbanization, Black-White and Hispanic-White PRRs were not statistically different from 1.0 at high poverty rates (Black-White PRR = 1.0, 95% confidence interval [CI] = 0.4, 2.9; Hispanic-White PRR = 0.4, 95% CI = 0.1, 1.6). In nonurban counties, racial/ethnic disparities remained after we controlled for poverty.The association between HIV prevalence and poverty varies by level of urbanization. HIV prevention interventions should be tailored to this understanding. Reducing racial/ethnic disparities will require multifactorial interventions linking social factors with sexual networks and individual risks.

SUBMITTER: Vaughan AS

PROVIDER: S-EPMC4056233 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

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Connecting race and place: a county-level analysis of White, Black, and Hispanic HIV prevalence, poverty, and level of urbanization.

Vaughan Adam S AS Rosenberg Eli E Shouse R Luke RL Sullivan Patrick S PS

American journal of public health 20140515 7

<h4>Objectives</h4>We evaluated the role of poverty in racial/ethnic disparities in HIV prevalence across levels of urbanization.<h4>Methods</h4>Using national HIV surveillance data from the year 2009, we constructed negative binomial models, stratified by urbanization, with an outcome of race-specific, county-level HIV prevalence rates and covariates of race/ethnicity, poverty, and other publicly available data. We estimated model-based Black-White and Hispanic-White prevalence rate ratios (PRR ...[more]

PMID: 24832420

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Project description:BackgroundCommunities with more Black or Hispanic residents have higher coronavirus rates than communities with more White residents, but relevant community characteristics are underexplored. The purpose of this study was to investigate poverty-, race- and ethnic-based disparities and associated economic, housing, transit, population health and health care characteristics.MethodsSix-month cumulative coronavirus incidence and mortality were examined using adjusted negative binomial models among all U.S. counties (n = 3142). County-level independent variables included percentages in poverty and within racial/ethnic groups (Black, Hispanic, Native American, Asian), and rates of unemployment, lacking a high school diploma, housing cost burden, single parent households, limited English proficiency, diabetes, obesity, smoking, uninsured, preventable hospitalizations, primary care physicians, hospitals, ICU beds and households that were crowded, in multi-unit buildings or without a vehicle.ResultsCounties with higher percentages of Black (IRR = 1.03, 95% CI: 1.02-1.03) or Hispanic (IRR = 1.02, 95% CI: 1.01-1.03) residents had more coronavirus cases. Counties with higher percentages of Black (IRR = 1.02, 95% CI: 1.02-1.03) or Native American (IRR = 1.02, 95% CI: 1.01-1.04) residents had more deaths. Higher rates of lacking a high school diploma was associated with higher counts of cases (IRR = 1.03, 95% CI: 1.01-1.05) and deaths (IRR = 1.04, 95% CI: 1.01-1.07). Higher percentages of multi-unit households were associated with higher (IRR = 1.02, 95% CI: 1.01-1.04) and unemployment with lower (IRR = 0.96, 95% CI: 0.94-0.98) incidence. Higher percentages of individuals with limited English proficiency (IRR = 1.09, 95% CI: 1.04-1.14) and households without a vehicle (IRR = 1.04, 95% CI: 1.01-1.07) were associated with more deaths.ConclusionsThese results document differential pandemic impact in counties with more residents who are Black, Hispanic or Native American, highlighting the roles of residential racial segregation and other forms of discrimination. Factors including economic opportunities, occupational risk, public transit and housing conditions should be addressed in pandemic-related public health strategies to mitigate disparities across counties for the current pandemic and future population health events.

Project description:ObjectivesAdolescent military-dependents experience distinct risk and protective factors, which may necessitate additional clinical considerations. In civilian youth, overweight/obesity is associated with eating, internalizing, and externalizing difficulties, with some studies reporting more difficulties among non-Hispanic White (vs. non-Hispanic Black) youth. It is unknown if these disparities exist among adolescent military-dependents, or between civilian and military-dependent youth.MethodsNon-Hispanic Black (187 civilian, 38 military-dependent) and non-Hispanic White (205 civilian, 84 military-dependent) adolescents with overweight/obesity (14.7 ± 1.6 years; 73.9% girls; body mass index adjusted for age and sex 1.9 ± 0.5) completed a disordered-eating interview; parents completed a measure assessing their child's internalizing and externalizing difficulties. Multiple linear regressions examined parental military-status as a moderator of the relationship of participant race with eating, internalizing, and externalizing difficulties.Results White civilian youth with overweight/obesity reported significantly greater disordered-eating than their Black peers (p < .001); there were no other significant racial differences. In all regressions, parental military-status significantly moderated the association between race and each dependent variable (ps < .047). Black military-dependents (vs. civilians) reported more disordered-eating and internalizing difficulties (ps = .01). White military-dependents (vs. civilians) reported fewer externalizing difficulties (p = .01).Conclusions Black adolescent military-dependents with overweight/obesity may experience more eating and internalizing difficulties (vs. civilians), a pattern not observed among White participants. Future work should examine if being a military-dependent and a historically marginalized racial group member accounts for these findings. Such data may inform providers of youth with intersecting minority identities.

Project description:The highly variable occurrence of primary liver cancers across the United States emphasize the relevance of location-based factors. Social determinants such as income, educational attainment, housing, and other factors may contribute to regional variations in outcomes. To evaluate their impact, this study identified and analyzed clusters of high mortality from primary liver cancers and the association of location-based determinants with mortality across the contiguous United States. A geospatial analysis of age-adjusted incidence and standardized mortality rates from primary liver cancers from 2000 to 2020 was performed. Local indicators of spatial association identified hot-spots, clusters of counties with significantly higher mortality. Temporal analysis of locations with persistent poverty, defined as high (>20%) poverty for at least 30 years, was performed. Social determinants were analyzed individually or globally using composite measures such as the social vulnerability index or social deprivation index. Disparities in county level social determinants between hot-spots and non-hot-spots were analyzed by univariate and multivariate logistic regression. There are distinct clusters of liver cancer incidence and mortality, with hotspots in east Texas and Louisiana. The percentage of people living below the poverty line or Hispanics had a significantly higher odds ratio for being in the top quintile for mortality rates in comparison to other quintiles and were highly connected with mortality rates. Current and persistent poverty were both associated with an evolution from non-hotspots to new hotspots of mortality. Hotspots were predominantly associated with locations with significant levels of socioeconomic vulnerability or deprivation. Poverty at a county level is associated with mortality from primary liver cancer and clusters of higher mortality. These findings emphasize the importance of addressing poverty and related socio-economic determinants as modifiable factors in public health policies and interventions aimed at reducing mortality from primary liver cancers.

Project description:Background Persistent racial/ethnic disparities in cardiovascular disease (CVD) mortality are partially explained by healthcare access and socioeconomic, demographic, and behavioral factors. Little is known about the association between race/ethnicity-specific CVD mortality and county-level factors. Methods and Results Using 2017 county-level data, we studied the association between race/ethnicity-specific CVD age-adjusted mortality rate (AAMR) and county-level factors (demographics, census region, socioeconomics, CVD risk factors, and healthcare access). Univariate and multivariable linear regressions were used to estimate the association between these factors; R2 values were used to assess the factors that accounted for the greatest variation in CVD AAMR by race/ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic/Latinx individuals). There were 659 740 CVD deaths among non-Hispanic White individuals in 2698 counties; 100 475 deaths among non-Hispanic Black individuals in 717 counties; and 49 493 deaths among Hispanic/Latinx individuals across 267 counties. Non-Hispanic Black individuals had the highest mean CVD AAMR (320.04 deaths per 100 000 individuals), whereas Hispanic/Latinx individuals had the lowest (168.42 deaths per 100 000 individuals). The highest CVD AAMRs across all racial/ethnic groups were observed in the South. In unadjusted analyses, the greatest variation (R2) in CVD AAMR was explained by physical inactivity for non-Hispanic White individuals (32.3%), median household income for non-Hispanic Black individuals (24.7%), and population size for Hispanic/Latinx individuals (28.4%). In multivariable regressions using county-level factor categories, the greatest variation in CVD AAMR was explained by CVD risk factors for non-Hispanic White individuals (35.3%), socioeconomic factors for non-Hispanic Black (25.8%), and demographic factors for Hispanic/Latinx individuals (34.9%). Conclusions The associations between race/ethnicity-specific age-adjusted CVD mortality and county-level factors differ significantly. Interventions to reduce disparities may benefit from being designed accordingly.

Project description:ObjectiveResearch suggests a difference in sweet taste perception between non-Hispanic black (NHB) and non-Hispanic white (NHW) adults; however, limited research has examined sweet taste perception in relation to the dietary intake of sweet products. The aim of this study was to examine sweet taste perception and the consumption of sweet foods, beverages, and sugar in NHB and NHW adults, and to evaluate whether sweet taste perception is associated with dietary intake.MethodsThis cross-sectional study examined the association between race, sweet taste perception and sweet food, beverages, and sugar consumption in healthy, NHB and NHW adults. Seven day food records were analyzed in Nutrition Data System for Research software. Intensity of sweet taste perception was tested and the general labeled magnitude scale method was used to facilitate group comparisons. Independent t tests, Mann-Whitney tests, and Pearson correlations were used to assess associations.ResultsParticipants were NHB (n = 98) and NHW (n = 90) adults, 41 ± 1 y of age (mean ± SEM) with energy intake of 2271 ± 53 kcal. Body mass index was higher in NHBs than in NHWs (36 ± 1 versus 32 ± 1 kg/m2, P = 0.048), but no differences were observed in age, energy consumption, or total sugar intake. Sweet taste perception rating (median [interquartile range] NHB: 73.5 [63.9-83], NHW: 52.1 [46.4-57.7]; P = 0.001) and added sugar intake (NHB: 39.4 g/1000 kcal [36.3-42.4], NHW: 30 g/1000 kcal [26.7-33.4]; P < 0.001) were greater in NHB. Perceived sweet taste intensity was positively associated with consumption of servings of sweet products among NHBs (R2 = 0.057, P = 0.018) but not NHWs (R2 = -0.012, P = 0.314).ConclusionsNHBs have a higher intensity of sweet taste perception than NHWs. The positive association of sweet taste perception and sweet product consumption in NHBs suggests that a higher intensity of sweet taste perception may be associated with an increased proportion of energy consumption from added sugars.

Dataset Information

Connecting race and place: a county-level analysis of White, Black, and Hispanic HIV prevalence, poverty, and level of urbanization.

Publications

Connecting race and place: a county-level analysis of White, Black, and Hispanic HIV prevalence, poverty, and level of urbanization.

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